The method according to claim 2, wherein the method further comprises retrieving, by the first, second, or third processor, the one or more pre-existing models from a first, second, or third storage medium and wherein the first storage medium is located on-board the autonomous sensor apparatus the second storage medium is located on-board the docking station and the third storage medium is located on-board one of the one or more computing device, the one or more computing devices being located remote from the autonomous sensor apparatus and the docking station.Ĥ. The method according to claim 1, wherein the one or more pre-existing models are constructed, of one or more prior data sets obtained earlier in time relative to the one or more data sets, or by computer-assisted design software and wherein an identity of the one or more pre-existing models is pre-identified by the human operator.ģ. A method for performing an autonomous inspection comprising: departing, by an autonomous sensor apparatus, a docking station traversing, by the autonomous sensor apparatus, a path through a site having one or more three-dimensional objects located therein locating and traveling to a proximity of, by the autonomous sensor apparatus, the one or more three-dimensional objects orienting toward, by the autonomous sensor apparatus and/or a plurality of sensors that are on-board the autonomous sensor apparatus, the one or more three-dimensional objects obtaining, by the plurality of sensors, one or more data sets throughout the path, each of the one or more data sets associated with one of a plurality of attributes of the one or more three-dimensional objects wherein the plurality of sensors obtain the one or more data sets from a plurality of different positions of the plurality of sensors, throughout the path, relative to one or more points on the one or more three-dimensional objects returning the autonomous sensor apparatus to the docking station pre-processing, by a first, second, or third processor, the one or more data sets collocating, by the first, second, or third processor, the one or more data sets to produce a collocated data set generating, by the first, second, or third processor, a working model from the collocated data set determining, by the first, second, or third processor, an identity of the one or more three-dimensional objects embodied by the working model comparing, by the first, second, or third processor, the working model with one or more pre-existing models to determine a presence and/or an absence of anomalies defining, by the first, second, or third processor, criticality of the anomalies and actions required for human operators to address the anomalies communicating, by the first, second, or third processor, through a network, human-readable instructions to address the anomalies to one or more computing devices accessible by the human operator and receiving, by the one or more computing devices, the human-readable instructions to address the anomalies, a location of the one or more three-dimensional objects having the anomalies, and optionally an overlay model, wherein the overlay model is an overlay of the working model and the one or more pre-existing models, and wherein the overlay model has a size that is 5 to 6 orders of magnitude less than the one or more data sets.Ģ.
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